Will AI replace Dermatologists?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

32/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Dermatologists?

Not entirely. Today's AI tools can take on about 32% of the typical work in this occupation, mostly: record patients' health histories. The parts that stay human include: Diagnose and treat skin conditions such as acne, dandruff, athlete's foot, moles, psoriasis, or skin cancer.; Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer.; Conduct complete skin examinations..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Record patients' health histories.AI already used 68%

Counsel patients on topics such as the need for annual dermatologic screenings, sun protection, skin cancer awareness, or skin and lymph node self-examinations. 60%

Diagnose and treat skin conditions such as acne, dandruff, athlete's foot, moles, psoriasis, or skin cancer. 28%

Diagnose and treat pigmented lesions such as common acquired nevi, congenital nevi, dysplastic nevi, Spitz nevi, blue nevi, or melanoma. 25%

Conduct complete skin examinations. 15%

Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer. 10%

+ 12 more tasks (37% of the week) in the full test.

Your human edge

Diagnose and treat skin conditions such as acne, dandruff, athlete's foot, moles, psoriasis, or skin cancer.
Perform skin surgery to improve appearance, make early diagnoses, or control diseases such as skin cancer.
Conduct complete skin examinations.

AI tools to try

Clinical documentation and transcription assistantsChatGPT / Claude for patient information (no patient data)Clinical decision support in your systems

Related roles

A 3-phase AI learning plan

Phase 1

Less documentation time

AI transcription and note drafting where your organisation allows it.
Patient information leaflets in plain language.
Never put identifiable patient data into public tools.

Project

Use an approved ambient scribe for 20 full skin exams, de-identify all inputs, and compare average note-writing minutes per visit against your previous 20 visits.

Phase 2

Evidence and decision support

Guideline and literature summaries with AI, checked in the source.
Understand how decision-support tools reach their output.
Know the limits and liability.

Project

Have AI summarise current melanoma and dysplastic nevi management guidelines, verify every claim in the source, and log how many of 30 statements were wrong or outdated.

Phase 3

AI in care processes

Coordination, scheduling and handover with AI help.
Take part in your organisation's AI projects.
Teach colleagues safe use.

Project

Draft an AI-assisted triage and scheduling rule set for suspicious pigmented lesion referrals, pilot it for two weeks, and train three colleagues on its limits and safe use.

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